Bio:
I'm currently a senior staff research scientist at InnoPeak Technology, focusing on 3D digital human reconstruction and rendering. I received my PhD degree in Computer Science from the University of Delaware in 2019 and my MS degree in Computer Engineering from Stevens Institute of Technology in 2014. My research interests span a range of topics in computer vision and computer graphics, especially computational photography, non-conventional imaging, illumination and reflectance, 3D reconstruction and rendering, and so on.
Publications:
Polarimetric Helmholtz Stereopsis
Yuqi Ding, Yu Ji, Mingyuan Zhou, Sing Bing Kang, and Jinwei Ye.
IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Oral Presentation
Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field
Mingyuan Zhou, Yuqi Ding, Yu Ji, S. Susan Young, Jingyi Yu, and Jinwei Ye.
International Conference on Computational Photography (ICCP), and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
3D Face Reconstruction using Color Photometric Stereo with Uncalibrated Near Point Lights
Zhang Chen, Yu Ji, Mingyuan Zhou, Sing Bing Kang, and Jingyi Yu.
IEEE International Conference on Computational Photography (ICCP), 2020.
Structure from Motion on XSlit Cameras
Wei Yang, Yingliang Zhang, Jinwei Ye, Yu Ji, Zhong Li, Mingyuan Zhou, and Jingyi Yu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
Hybrid sensing face detection and registration for low-light and unconstrained conditions
Content Aware Image Pre-Compensation
Jinwei Ye ,Yu Ji, Mingyuan Zhou , Sing Bing Kang, and Jingyi Yu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
Rotational Crossed-Slit Light Fields
Nianyi Li, Haiting Lin, Bilin Sun, Mingyuan Zhou, Jingyi Yu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Previous Projects:
Volumetric Stage
Developed a purpose-built volumetric stage, volumetric capture solution, and 3D reconstruction solution.
Volumetric Reconstruction
Reconstructed 3D volumetric data are applied for different applications. Such data can be viewed by using mobile phones, 3D displays. AR/VR goggles, and TV. Volumetric capture poses intriguing future possibilities for mixed reality applications.
Object Scanning System
Developed an object scanning system for 3D object reconstruction and rendering.
Face Capture System
Developed a human face capture system to recover high-quality 3D face geometry.
